文件名称：深度学习经典文献打包文献
文件大小：27.48MB
文件格式：ZIP
更新时间：2021-09-10 16:41:25
Hinton 深度学习 超智能体 YJango
文档包含： 1. 图像物体分类与检测算法综述 黄凯奇 , 任伟强 , 谭铁牛 2. BP算法的提出《Learning Internal Representations by Error Propagation》 Hinton等 1986 3. CNN雏形《Backpropagation applied to handwritten zip code recognition》 Y.leCun等 1989 4. LetNet-5模型《Gradient-based learning applied to document recognition》 Y.leCun等 1998 5. Hinton惊世骇俗之作《Reducing the dimensionality of data with neural networks》 Hinton等 2006 6. CNN在ImageNet崭露头角《Imagenet classification with deep convolutional neural networks》 Alex Krizhevsky等 2012 7. DeepFace 《DeepFace-Closing the Gap to Human-Level Performance in Face Verification》 Yaniv Taigman等 2014 8. 《Deep learning face representation by joint identification-verification》 Xiaoou Tang组 2014 9. 《Deep Learning Face Representation from Predicting 10,000 Classes》 Xiaoou Tang组 2014 10.《Deeply learned face representations are sparse, selective, and robust》 Xiaoou Tang组 2014 11. 深度学习领域三大神合作《Deep Learning.Nature.2015》 Hinton，Y.leCun，Yoshua Bengio 2015 12. 另附知乎大神YJango的书籍《YJango-超智能体》
【文件预览】：
Reducing the dimensionality of data with neural networks.pdf
深度学习文档.pdf
Deep learning face representation by joint identification-verification.pdf
Deep Learning Face Representation from Predicting 10,000 Classes.pdf
Deeply learned face representations are sparse, selective, and robust.pdf
Backpropagation applied to handwritten zip code recognition.pdf
Learning Internal Representations by Error Propagation.pdf
Imagenet classification with deep convolutional neural networks.pdf
图像物体分类与检测算法综述.pdf
Deep Learning.Nature.2015.pdf
Gradient-based learning applied to document recognition.pdf
DeepFace-Closing the Gap to Human-Level Performance in Face Verification.pdf